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  4. Near-wake measurements and simulations of a floating wind turbine using a four-beam nacelle-based lidar
 
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Near-wake measurements and simulations of a floating wind turbine using a four-beam nacelle-based lidar

Citation Link: https://doi.org/10.15480/882.13391
Publikationstyp
Conference Paper
Date Issued
2024-05-29
Sprache
English
Author(s)
Özinan, Umut
Gräfe, Moritz  
Schulz, Christian  orcid-logo
Fluiddynamik und Schiffstheorie M-8  
Cheng, Po Wen  
TORE-DOI
10.15480/882.13391
TORE-URI
https://hdl.handle.net/11420/49409
Journal
Journal of physics. Conference Series  
Volume
2767
Issue
9
Article Number
092100
Citation
Science of Making Torque from Wind, TORQUE 2024
Contribution to Conference
Science of Making Torque from Wind, TORQUE 2024  
Publisher DOI
10.1088/1742-6596/2767/9/092100
Scopus ID
2-s2.0-85197375769
Publisher
IOP
Recent advances in lidar technology have expanded the possibilities for measuring full-scale wind turbine wakes within the atmospheric boundary layer. This study utilizes a four-beam pulsed lidar installed on the nacelle of a floating turbine to measure the near-wake. The wake measurement campaign was conducted on the Floatgen, with lidar measurements reaching up to 2.5 times the rotor diameter distance. These measurements are presented as 10-minute average radial wind speeds. The focus of this study is on the below rated wind speed of 7 m/s. Free flow conditions were assumed at the farthest measurement points, which are located ±0.9 times the rotor diameter from to the rotor center. The sensitivity of lidar measurements to turbulence intensity, vertical wind shear, and significant wave height was investigated. The environmental conditions were categorized into five cases, considering turbulence, vertical shear, and yaw misalignment as well as waves. Two simulation models with different fidelity levels are used to simulate these cases, and the beam-wise radial wind speed predictions are compared with the measurements. A maximum mean absolute error of 11.3% between the measurements and simulations is observed.
DDC Class
530: Physics
Funding(s)
Validierung, Messung und Optimierung von schwimmenden Windenergiesystemen; Teilvorhaben: Erweiterung und Validierung einer Panelmethode zur Simulation des dynamischen Betriebsverhaltens schwimmender Windenergiesysteme  
Lizenz
https://creativecommons.org/licenses/by/4.0/
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